Recently, the Edge Computing paradigm has gained significant popularity both in industry and academia. Researchers now increasingly target to improve performance and reduce energy consumption of such devices. Some recent efforts focus on using emerging RRAM technologies for improving energy efficiency, thanks to their no leakage property and high integration density. As the complexity and dynamism of applications supported by such devices escalate, it has become difficult to maintain ideal performance by static RRAM controllers. Machine Learning provides a promising solution for this, and hence, this work focuses on extending such controllers to allow dynamic parameter updates. In this work we propose an Adaptive RRAM Variability-Aware Controller, AVAC, which periodically updates Wait Buffer and batch sizes using on-the-fly learning models and gradient ascent. AVAC allows Edge devices to adapt to different applications and their stages, to improve computation performance and reduce energy consumption. Simulations demonstrate that the proposed model can provide up to 29% increase in performance and 19% decrease in energy, compared to static controllers, using traces of real-life healthcare applications on a Raspberry-Pi based Edge deployment.

In this paper, we continue our prior work on using imitation learning (IL) and model free reinforcement learning (RL) to learn driving policies for autonomous driving in urban scenarios, by introducing a model based RL method to drive the autonomous vehicle in the Carla urban driving simulator. Although IL and model free RL methods have been proved to be capable of solving lots of challenging tasks, including playing video games, robots, and, in our prior work, urban driving, the low sample efficiency of such methods greatly limits their applications on actual autonomous driving. In this work, we developed a model based RL algorithm of guided policy search (GPS) for urban driving tasks. The algorithm iteratively learns a parameterized dynamic model to approximate the complex and interactive driving task, and optimizes the driving policy under the nonlinear approximate dynamic model. As a model based RL approach, when applied in urban autonomous driving, the GPS has the advantages of higher sample efficiency, better interpretability, and greater stability. We provide extensive experiments validating the effectiveness of the proposed method to learn robust driving policy for urban driving in Carla. We also compare the proposed method with other policy search and model free RL baselines, showing 100x better sample efficiency of the GPS based RL method, and also that the GPS based method can learn policies for harder tasks that the baseline methods can hardly learn.

Making changes to a program to optimize its performance is an unscalable task that relies entirely upon human intuition and experience. In addition, companies operating at large scale are at a stage where no single individual understands the code controlling its systems, and for this reason, making changes to improve performance can become intractably difficult. In this paper, a learning system is introduced that provides AI assistance for finding recommended changes to a program. Specifically, it is shown how the evaluative feedback, delayed-reward performance programming domain can be effectively formulated via the Monte Carlo tree search (MCTS) framework. It is then shown that established methods from computational games for using learning to expedite tree-search computation can be adapted to speed up computing recommended program alterations. Estimates of expected utility from MCTS trees built for previous problems are used to learn a sampling policy that remains effective across new problems, thus demonstrating transferability of optimization knowledge. This formulation is applied to the Apache Spark distributed computing environment, and a preliminary result is observed that the time required to build a search tree for finding recommendations is reduced by up to a factor of 10x.

Coronavirus disease 2019 (Covid-19) is highly contagious with limited treatment options. Early and accurate diagnosis of Covid-19 is crucial in reducing the spread of the disease and its accompanied mortality. Currently, detection by reverse transcriptase polymerase chain reaction (RT-PCR) is the gold standard of outpatient and inpatient detection of Covid-19. RT-PCR is a rapid method, however, its accuracy in detection is only ~70-75%. Another approved strategy is computed tomography (CT) imaging. CT imaging has a much higher sensitivity of ~80-98%, but similar accuracy of 70%. To enhance the accuracy of CT imaging detection, we developed an open-source set of algorithms called CovidCTNet that successfully differentiates Covid-19 from community-acquired pneumonia (CAP) and other lung diseases. CovidCTNet increases the accuracy of CT imaging detection to 90% compared to radiologists (70%). The model is designed to work with heterogeneous and small sample sizes independent of the CT imaging hardware. In order to facilitate the detection of Covid-19 globally and assist radiologists and physicians in the screening process, we are releasing all algorithms and parametric details in an open-source format. Open-source sharing of our CovidCTNet enables developers to rapidly improve and optimize services, while preserving user privacy and data ownership.

A computer-implemented method is provided for statistical data learning under privacy constraints. The method includes: receiving, by a processor, a plurality of pieces of statistical information relating to a statistical object and aggregating, by the processor, the plurality of pieces of statistical information so as to provide an estimation of the statistical object. Each piece of statistical information includes an uncertainty variable, the uncertainty variable being a value determined from a function having a predetermined mean. The number of pieces of statistical information aggregated is proportional to the reliability of the estimation of the statistical object.

Methods and arrangements for conducting a search using query logs. A query log is consulted and query rewrite rules are learned automatically based on data in the query log. The learning includes obtaining click-through data present in the query log.

A datapath extraction tool uses machine-learning models to selectively classify clusters of cells in an integrated circuit design as either datapath logic or non-datapath logic based on cluster features. A support vector machine and a neural network can be used to build compact and run-time efficient models. A cluster is classified as datapath if both the support vector machine and the neural network indicate that it is datapath-like. The cluster features may include automorphism generators for the cell clusters, or physical information based on the cell locations from a previous (e.g., global) placement, such as a ratio of a total cell area for a given cluster to a half-perimeter of a bounding box for the given cluster.

A handheld electronic device includes a reduced QWERTY keyboard and is enabled with a disambiguation routine that is operable to disambiguate text input. In addition to identifying and outputting representations of language objects that are stored in the memory and that correspond with a text input, the device is able to perform a spell check routine during input of a text entry and to learn and automatically correct mistakes typically made by the particular user.

Smoking cessation lighter is configured for lighting cigarettes for a smoker, and learning software is provided for monitoring smoking behavior of a smoker during a first data collection period and guiding a smoker's smoking cessation by directing the smoker when the smoker is to smoke a cigarette based on data collected during the first data collection period. The learning software monitors user behavior and collects data during use of the lighter by the smoker after the initial data collection period in order to analyze and further guide the smoker based on the smoker's cheating behavior, the smoker's behavior of lighting a cigarette for a friend, and the smoker's behavior of skipping use of the lighter at a time when the smoker has been directed to light a cigarette by the lighter.

A model aircraft control and receiving device in a housing, comprising an electronic, gyroscopic multi-axis programmable flight attitude controller, having control inputs for a plurality of control channels and inputs for gyroscope signals, wherein the flight attitude controller provides at least one input for a receiver module disposed inside or outside of the housing of the flight attitude controller. The device may be used in a method for controlling and stabilizing a model helicopter, wherein the control comprises a self-learning function and/or the control comprises a coupling of the tail controller to the swashplate controller and/or the control comprises a stopping support function.

A learning toy that includes a frame and a plurality of blocks. Each block includes a different color on each face with a first face having a first color and a second face having a second color. Additionally, four different colors are separately assigned to each of the remaining faces and the color assignments vary between at least two blocks of the plurality of blocks. The plurality of blocks allow for consistency and variability. Consistency comes from the colors assigned to two faces staying the same between blocks and the variability comes from the colors assigned to remaining four faces varying between some blocks.

A drive system for a mobile machine is disclosed. The drive system may have a travel speed sensor, at least one traction device speed sensor, and a controller in communication with the travel speed sensor and the at least one traction device speed sensor. The controller may be configured to determine a slip value associated with a traction device of the mobile machine based on signals generated by the travel speed sensor and the at least one traction device speed sensor, and determine a torque output value of the mobile machine. The control may also be configured to make a comparison of the slip value and the torque output value with a pull-slip curve stored in memory, and selectively update the pull-slip curve based on the comparison.

An improved learning aid in the form of a book, the book includes a front cover, a back cover, and a plurality of pages intermediate the front cover and the back cover. The plurality of pages, front cover, and back cover are conventionally bound together along one longitudinal side by a binding means. The back cover includes an outer side disposed with a plurality of sections. Each of the sections printed text framed by a text identification and sequence indicator, wherein the printed text is a complete reproduction of the text printed on a particular numbered page of the plurality of pages of the book.

A computerized-social network provides a community of users with features and tools facilitating an immersive, collaborative environment where users can learn a language or help others learn a language. One user (user A) can view another user's (user B) Web page or document and make suggestions or comments for selected content on that Web page. These suggestions are linked specifically to the selected content. User B can review the suggestions, and accept or reject the suggestions by user A and others.

More than a month since officials closed schools due to Covid-19, California leaders said a two-week blitz led by First Partner Jennifer Siebel Newsom has brought in 70,000 computers and other devices that will be distributed to needy students this week. Gov. Gavin Newsom has stressed the importance of distance learning and education multiple times during the past month—even talking about helping his own children with school work.…

A method and system for teaching oneself to learn to play a string instrument and master it by analyzing one's real-time hand/finger movement/technique/form, enabling oneself to progress and correct one's own mistakes simultaneously. In one aspect, a system for learning to play a string instrument is provided that includes a simulation instrument that includes a plurality of strings, wherein at least one of the strings includes at least one-touch sensing sensor thereon in communication with at least one processor to receive a signal from the at least one touch-sensing sensor and determine therefrom when and where on the at least one string a user applies pressure to the at least one string.

If you do not want to spend every day doing the same thing, we have just the job for you!

Coronavirus has highlighted the digital divide among low-income as well as rural students. Schools that don’t send students home with laptops rushed them equipment so they could do their homework online. School administrators say some parents claim to have internet access, but it may only be through a phone plan. Districts have distributed hot spots for families without a plan or where service is undependable. Particularly in rural communities like Montmorency, reliable internet connectivity is a major hurdle. Montmorency is a K-8 district in Whiteside County with around 230 students. Alex Moore is the superintendent. “On a good day, I get four megabytes per second download speed, so I knew that was going to be an issue. About half of our families probably have decent internet,” said Moore. Even that “good day” download speed doesn’t meet the FCC’s minimum recommendation for e-learning. For many younger students, remote learning has to be pencil and paper. Schools like Somonauk set up

AS Scotland’s National Dance Company, Scottish Ballet aims to bring the benefits and joy of dance to everyone.

Schools are closed, and Zoom is the new classroom for thousands of Bay Area students. We'll discuss how local school districts are handling distance learning, get tips from teachers and hear about what we can do to create equitable learning experiences for all. We'll also get a update on the lastest local pandemic developments and hear a specially composed reflection on life in the coronavirus era by Bay Area novelist Vanessa Hua. And we want to hear from you. Call us during the show with your questions and experiences: 866-798-TALK or send an email anytime to cityvisions@kalw.org . Wednesday, April 15 at 9 PM. Guests : Erin Allday , health reporter, San Francisco Chronicle Peter Chin-Hong , professor of medicine and infectious diseases specialist, UCSF JC Farr , principal, Tamalpais High School in Marin County Lisa Kelly , 6th grade English teacher at the Life Academy in Oakland Jill Tucker, K-12 education reporter, San Francisco Chronicle Vanessa Hua , novelist whose books include

Educators, parents and students are all struggling to find their way through distance learning, but the challenges can be even greater for special education students.

Christ Episcopal School Director of Technology Bob Krieger discusses distance learning measures for early childhood to high school students implemented since the school shut down in mid-March in response to the spread of COVID-19.

Some police departments are embracing a set of tactics designed to reduce the use of force – and prevent police shootings. Rather than rushing in aggressively, officers back off, wait out people in crisis and use words instead of weapons.

But this training isn’t required in most states. Reveal teams up with APM Reports and finds that most cops spend a lot more time training to shoot their guns than learning how to avoid firing them.

Head over to revealnews.org for more of our reporting.

Follow us on Facebook at fb.com/ThisIsReveal and on Twitter @reveal.

And to see some of what you’re hearing, we’re also on Instagram @revealnews.

Some police departments are embracing a set of tactics designed to reduce the use of force – and prevent police shootings. Rather than rushing in aggressively, officers back off, wait out people in crisis and use words instead of weapons.

But this training isn't required in most states. Reveal teams up with APM Reports and finds that most cops spend a lot more time training to shoot their guns than learning how to avoid firing them.

This episode was originally broadcast on May 6, 2017.

Don’t miss out on the next big story. Get the Weekly Reveal newsletter today.

Selenium is one of the most popular tools for testing web-based applications. It allows QA engineers to write and automate tests across many different browsers and operating systems, without a special scripting language. This course introduces Selenium to new users, covering installation and basic use cases. Find out how to set up the test-writing framework, WebDriver, and Selenium Grid, which allows you to distribute the testing load and run tests against a remote server. Learn best practices to write effective tests using variables and functions, and to organize tests into suites that can scale over time. Instructor Meaghan Lewis—a QA engineer at GitHub—also explains the test pyramid paradigm, which details an ideal way to balance unit, integration, and UI testing.

People are getting out and biking more these days. Are you one of them, or do you want to be? I've been biking the streets of Portland for 7 years. I can look at Portland's bike maps with you and help you figure out the BEST route that will get you where you want to go.

time/date flexible

Mon May 11 at 8:00 PM,

May 7 is the date that Montana Gov. Steve Bullock, a Democrat, declared it was safe to open up schools. The state has had fewer than 500 reported cases of the coronavirus as of this week. But according to the state's Office of Public Instruction, just a few school districts in small towns have taken the governor up on the offer. That gap — between a state executive proclaiming schools OK to open and the reality of tiny groups of students gathering in just a few schools — shows the logistical challenges educators and state officials around the country face in any decision to reopen. Willow Creek School in Three Forks, Mont., is opening its doors and expects a few dozen of its 56 students to show up. Troy, a northwestern Montana town, is holding limited and voluntary "study hall" visits, focusing on special education students, as well as some outdoor activities. The town of Glasgow says it will open its schools on a limited basis to students without devices. Libby, a town of fewer than 3

San Francisco Unified is pushing to get all students online and learning . We’ll hear why getting families computers and internet access in the age of COVID-19 is complicated. Then, we talk to body image activist Virgie Tovar about the new hidden messaging to teenage girls. And, we’ll continue our New Arrivals series featuring local authors.

Academia is divided over the wisdom of offering students extra credit on tests or projects. In this episode of the KUT podcast “Higher Ed,” KUT’s Jennifer Stayton and Southwestern University President Dr. Ed Burger discuss the utility and merit of offering extra points for extra effort. Ed says for the most part he supports extra...

This episode was originally posted on Jan. 13, 2019. Many external factors can impact the quality and effectiveness of a learning experience: the teacher; the other students in a class; the school’s resources; even the student’s surroundings and home. But what about the internal factors? In this episode of KUT’s podcast “Higher Ed,” Southwestern University...

When strong feelings bubble up, your heart might win out over your head in deciding what happens next. But at times, a more thoughtful approach might prove ultimately more effective. In this episode of KUT’s podcast “Higher Ed,” Southwestern University President Dr. Ed Burger and KUT’s Jennifer Stayton discuss the tug-of-war between feeling and thinking....

“Thank you” may not always be the words that come to mind when struggling through a difficult lesson or dealing with a mountain of homework in school. But in this episode of KUT’s podcast “Higher Ed,” Southwestern University President Dr. Ed Burger and KUT’s Jennifer Stayton discuss the role that gratitude can play in learning...

In the very first episode of KUT’s podcast “Higher Ed,” Southwestern University President Dr. Ed Burger and KUT’s Jennifer Stayton talked about the importance of failure to learning. Has any thinking changed about that concept in the past five years? Ed says he has greater clarity now than he had five years ago about one...

I want to teach myself to sew by replicating this apron, probably many, many times. I bought the apron; what next?

After spending a lot of the past couple of months in a Bon Appétit rabbit hole (thanks MeFi!), I'm obsessed with this apron that seems to be favored by many of the presenters. Despite its ridiculous price, I went ahead and bought one as a bit of retail therapy.

Well, it arrived today and I loooooove it. I want to give them to all my friends and family, and I want ten of them hanging in my own pantry, but spending $5K on linen aprons from France isn't on the agenda.

So, no time like the present to merge this motivation with another long-standing goal, which is to get competent with my sewing machine, a Singer from... maybe the early '90s? It was given to me by a friend about ten years ago, and since then I have used it three times, always with a more experienced helper to thread the machine, help cut the pieces, etc. The last time it came out of the closet was at least four years ago, so please assume that I am starting from zero.

I have watched a fair amount of Project Runway, but despite that I do not really know where to begin :) This tutorial seems reasonable easy to follow to make a pattern, but... then what? Is there anything more to it than just trying and trying again, presuming I can't ask or hire anyone for help in the foreseeable future? What is the absolute cheapest fabric I can practice on that will help me not ruin the first few yards of linen that I (with luck) will ultimately graduate to? Can I just use reasonably-sized rags/old clothes from the basement?

Any general tips on learning to sew on your own as an adult are also welcome!

Re: “Pandemic exposes our neglect of children, families” [April 26, Opinion]: Tim Burgess points out that “nowhere are our systemic failures more damaging and longer lasting than in the education of our children,” and he goes on to note research that early learning opportunities in child care and preschool can have a lifetime impact. As […]

Re: “Pandemic exposes our neglect of children, families” [April 26, Opinion]: Tim Burgess points out that “nowhere are our systemic failures more damaging and longer lasting than in the education of our children,” and he goes on to note research that early learning opportunities in child care and preschool can have a lifetime impact. As […]

Take a peek inside UW football's creative department, an increasingly essential resource in the worlds of recruiting and social media.

Part 5 of this tutorial series teaches you how to add machine learning to your data to help you extrapolate future orders.

The internet offers a huge amount of information, usually for free. So how has that affected the institutions we have traditionally learned from: our schools, colleges, and universities?

Renowned Michi Saagiig Nishnaabeg scholar and artist, Leanne Betasamosake Simpson talks about the philosophy and ethics that undergird Anishnaabe worlds in her 2020 Kreisel Lecture entitled, A Short History of the Blockade: Giant Beavers, Diplomacy and Regeneration in Nishnaabewin.

While some parents are sharing picture-perfect posts about their home-schooling skills, others are pulling their hair out as they try to work and get their kids through this sudden introduction to remote learning. What lessons can we take from this crazy situation?

With many people struggling to adapt to social isolation and other issues associated with coronavirus, a growing number are turning to mental health services to help them cope with anxiety.

Tasmanian public schools will remain open "for the time being", while pubs, clubs, sporting venues and churches close from midday.

As parents struggle to support their children learning at home, a survey of 10,000 teachers finds only half of those in the public system think Australia's remote learning arrangements are sufficient.

Autistic students have long needed two separate diagnoses before receiving extra help at school, but from October that will no longer be the case.

The Aboriginal language Gathang largely disappeared when its last fluent speaker died in the 1960s, and now the task of revitalising it has begun.

Three-year-old Chase has come ahead in leaps and bounds in this past year, his family credits a program giving kids like him free access to early learning.